Multi-step ahead wind speed prediction based on a two-step decomposition technique and prediction model parameter optimization

Accurate and reliable wind speed prediction is essential for the exploitation and utilization of the wind energy. In this paper, a novel hybrid multi-step wind speed prediction model is proposed based on complete ensemble empirical mode decomposition with adaptive noise (CEEMDAN), robust local mean...

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Bibliographic Details

Published in:	Energy Reports
Main Authors:	He Wang, Min Xiong, Hongfeng Chen, Sumei Liu
Format:	Article
Language:	English
Published:	Elsevier 2022-11-01
Subjects:	Wind speed prediction Two-step decomposition Complete ensemble empirical mode decomposition with adaptive noise Robust local mean decomposition Long and short term memory neural network Improved whale optimization algorithm
Online Access:	http://www.sciencedirect.com/science/article/pii/S2352484722008101